Instructions to use chriswang2025/test-git-clean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chriswang2025/test-git-clean with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("chriswang2025/test-git-clean") prompt = "test_trigger_word" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("chriswang2025/test-git-clean")
prompt = "test_trigger_word"
image = pipe(prompt).images[0]test git upload
Model description
Test LoRA model uploaded via Git
Trigger words
You should use test_trigger_word to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using wavespeed.ai/models/fal-ai/turbo-flux-trainer.
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